diff --git a/content/notes/18-ML-in-IA-2.md b/content/notes/18-ML-in-IA-2.md
index ad796ceef..00709d23e 100644
--- a/content/notes/18-ML-in-IA-2.md
+++ b/content/notes/18-ML-in-IA-2.md
@@ -17,8 +17,62 @@ tags:
 - use statistical distribution of passwords then use this to generate guesses
 
 ![passGAN](https://i.imgur.com/439hrXq.png)
+![passGAN sample data](https://i.imgur.com/Y7A4ygP.png)
+- can generate passwords that are likely to be used
+- also based off previous passwords
+- passwords can be guessed in less attempts
+	- need to update our rules - e.g., how many guesses makes an attempt likely to be suspicious
+	- 
+
+- new password generate, which also provides real world indicator of password strength
+- faster password guessing
+	- hackers will get in faster
+	- need to be a step ahead of this
+- insight into strong but unused passwords
+- passwords get close and closer to those typically used
+
+## password "guessing"
+- gets faster as machines get faster (Moore's law)
+- machine learning reduces number of trials further by learning distributions of passwords
+
+- useful for us
+	- even if we didn't do this research the hackers would
+	- use passgan to detect guesses which may have come from passgan 
+	- can analyse the source of guesses for suspicous stuff e.g., ip, location etc
+	- can analyse data from antivirus programs
+
+- useful for hackers
+	- hackers can conquer our strategies
+
+## steganography
+- hiding secret messages in a medium that is not meant to be secret (e.g., image, audio, video)
+- used to hide content and reduce suspicion e.g., in forensic investigation
+- hidden message usually encryted but not in the sense of cryptography
+- goal is to decieve
+
+![](https://i.imgur.com/JWOIBw1.png)
+- embed noise into images
+
+### signal to noise
+- most signals contain noise e.g., static
+- noise carries info as the least significant bits in value
+- hiding data in an image in the least significant bits will be visually percieved as noise
+
+### e.g., derek uphams JSteg
+![slide](https://i.imgur.com/nGEGhPA.png)
+
+### stegnalysis
+- detecting hidden content
+- usually visually undetectable
+
+how
+- analyse DCT distributions
+- ![example DCT distribution](https://i.imgur.com/iki90fH.png)
+
+F5 steganographic algorithm
+- developed to fool analysis of dct distributions
+- 
 
-new password generate, which also provides real world indicator of password st
 
 # bigger issues